Workshops
- Explain the key considerations when initiating an automated insulin delivery (AID) system.
- Describe strategies for interpreting and applying CGM trends to improve glycemic outcomes.
- Discuss how Artificial Intelligence is being integrated into clinical decision-making for diabetes management.
- Compare the benefits and limitations of CGMs and GLP-1 receptor agonists (GLP-1RAs) in diabetes management.
- Discuss regulatory and industry efforts to enhance cybersecurity and interoperability for diabetes devices.
- Discuss how multimodal sensors integrate multiple physiological signals for improved diabetes management.
- Explain the different metrics of CGM data visualization and interpretation.
- Describe recent advancements in non-invasive and minimally invasive glucose monitoring technologies.
Sessions
- Discuss the impact of digital health, wearables, and remote monitoring on diabetes management.
- Describe how Artificial Intelligence is being used to enhance diabetes devices and digital health tools.
- Explain key metrics used in CGM data analysis for different patient populations.
- Discuss the performance of automated insulin delivery (AID) systems that do not require meals announcements.
- Explain emerging pharmacologic therapies for diabetes and their mechanisms of action.
- Discuss how CGM is being used beyond diabetes management, including in metabolic disorders and wellness applications.
- Explain the latest advancements in CGM technology and data analytics that are being developed by industry.
- Discuss the most promising startup companies from the Diabetes Center of Bern's Innovation Challenge 2025.
- Describe the most novel and promising advancements in diabetes technology research.